Learning Applied to Ground Vehicles - Enhancing Ground Vehicle Performance through Computer Vision Learning

Fouad Sabry

Summary

What is Learning Applied to Ground Vehicles
 
The Learning Applied to Ground Vehicles (LAGR) initiative, which was in operation from 2004 until 2008, was designed with the intention of expediting the development of autonomous, perception-based, off-road navigation in robotic unmanned ground vehicles (UGVs). DARPA, which is a research agency under the Department of Defense of the United States of America, provided funding for LAGR.
 
How you will benefit
 
(I) Insights, and validations about the following topics:
 
Chapter 1: DARPA LAGR Program
 
Chapter 2: DARPA
 
Chapter 3: Autonomous robot
 
Chapter 4: Military robot
 
Chapter 5: DARPA Grand Challenge
 
Chapter 6: Unmanned ground vehicle
 
Chapter 7: European Land-Robot Trial
 
Chapter 8: Mobile robot
 
Chapter 9: Crusher (robot)
 
Chapter 10: National Robotics Engineering Center
 
(II) Answering the public top questions about learning applied to ground vehicles.
 
(III) Real world examples for the usage of learning applied to ground vehicles in many fields.
 
Who this book is for
 
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Learning Applied to Ground Vehicles.

Available since: 05/05/2024.

Print length: 105 pages.

Science & Technology

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